Research Assistant at Max Planck Institute for Dynamics and Self-Organization
Göttingen, Lower Saxony, Germany
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Summary
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Senior
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Top School
Johannes Zierenberg is a physicist-turned-research scientist with nine years of experience probing complex dynamical systems at the intersection of neuroscience, physics and epidemiology. Currently leading and contributing to projects at the Max Planck Institute and the University of Göttingen, he implements large-scale numerical simulations, Bayesian inference and ML-driven data analysis on HPC to extract mechanistic insights from neural and behavioral time series. His work ranges from rapid development of a Science-published COVID intervention inference method to novel Monte Carlo and multicanonical algorithms for rare-event sampling, reflecting both theoretical depth and production-grade computational skills in C++, Python and Julia. He also supervises and mentors students, coordinates IT/HPC infrastructure, and advises experimental collaborators on stimulation and recording protocols—bridging theory, computation and lab practice in ways that reveal emergent neuronal dynamics.
9 years of coding experience
8 years of employment as a software developer
Honorary High School Diploma, Honorary High School Diploma at Concord High School
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Johannes Zierenberg - Research Assistant at Max Planck Institute for Dynamics and Self-Organization